James R. Brown

18.6k total citations · 2 hit papers
166 papers, 8.5k citations indexed

About

James R. Brown is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, James R. Brown has authored 166 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 24 papers in Plant Science and 19 papers in Epidemiology. Recurrent topics in James R. Brown's work include Genomics and Phylogenetic Studies (29 papers), RNA and protein synthesis mechanisms (19 papers) and Soil Carbon and Nitrogen Dynamics (15 papers). James R. Brown is often cited by papers focused on Genomics and Phylogenetic Studies (29 papers), RNA and protein synthesis mechanisms (19 papers) and Soil Carbon and Nitrogen Dynamics (15 papers). James R. Brown collaborates with scholars based in United States, United Kingdom and Canada. James R. Brown's co-authors include W. Ford Doolittle, Michael J. Smith, Andrew T. Beckenbach, Michael J. Stanhope, Kristin K. Koretke, E. B. Hartwick, Dennis J. Murphy, Karen Ingraham, David Holmes and Michael J. Italia and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

James R. Brown

159 papers receiving 8.1k citations

Hit Papers

Thousands of chemical starting points for antimalarial le... 2010 2026 2015 2020 2010 2016 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James R. Brown United States 47 4.9k 1.4k 1.2k 913 759 166 8.5k
Gregory B. Gloor Canada 53 9.7k 2.0× 1.3k 1.0× 1.8k 1.5× 1.5k 1.6× 1.7k 2.2× 157 14.6k
Ken Kurokawa Japan 51 4.9k 1.0× 1.5k 1.1× 1.8k 1.5× 512 0.6× 584 0.8× 171 9.3k
Beifang Niu China 18 9.4k 1.9× 1.4k 1.1× 2.5k 2.1× 1.8k 2.0× 549 0.7× 55 14.7k
Niranjan Nagarajan Singapore 38 5.5k 1.1× 915 0.7× 1.5k 1.3× 1.5k 1.7× 678 0.9× 138 9.1k
Jeremiah J. Faith United States 39 10.1k 2.1× 1.5k 1.1× 1.5k 1.3× 907 1.0× 1.0k 1.3× 74 14.6k
Helen Cook Denmark 11 6.1k 1.3× 985 0.7× 1.4k 1.2× 1.5k 1.6× 508 0.7× 14 10.9k
Ulaş Karaöz United States 29 4.7k 1.0× 654 0.5× 2.2k 1.9× 1.8k 1.9× 558 0.7× 54 9.8k
Yong Wang China 49 4.9k 1.0× 1.5k 1.1× 3.3k 2.8× 1.9k 2.0× 319 0.4× 410 11.8k
Christopher J. Creevey United Kingdom 34 5.0k 1.0× 1.6k 1.1× 1.5k 1.3× 1.0k 1.1× 339 0.4× 103 7.9k
Davide Heller Switzerland 5 7.7k 1.6× 1.2k 0.9× 1.5k 1.3× 1.6k 1.8× 636 0.8× 6 12.3k

Countries citing papers authored by James R. Brown

Since Specialization
Citations

This map shows the geographic impact of James R. Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James R. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Brown more than expected).

Fields of papers citing papers by James R. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James R. Brown. The network helps show where James R. Brown may publish in the future.

Co-authorship network of co-authors of James R. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Brown. A scholar is included among the top collaborators of James R. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James R. Brown. James R. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sokhansanj, Bahrad A., et al.. (2025). Enhancing nucleotide sequence representations in genomic analysis with contrastive optimization. Communications Biology. 8(1). 517–517. 1 indexed citations
2.
Nuzzo, Andrea, et al.. (2021). Expanding the drug discovery space with predicted metabolite–target interactions. Communications Biology. 4(1). 288–288. 13 indexed citations
3.
Wang, Zhang, Yuqiong Yang, Zhengzheng Yan, et al.. (2020). Multi-omic meta-analysis identifies functional signatures of airway microbiome in chronic obstructive pulmonary disease. The ISME Journal. 14(11). 2748–2765. 52 indexed citations
4.
Wang, Zhang, Nicholas Locantore, Koirobi Haldar, et al.. (2020). Inflammatory Endotype–associated Airway Microbiome in Chronic Obstructive Pulmonary Disease Clinical Stability and Exacerbations: A Multicohort Longitudinal Analysis. American Journal of Respiratory and Critical Care Medicine. 203(12). 1488–1502. 143 indexed citations
5.
Wang, Zhang, Barbara Maschera, Simon Lea, et al.. (2019). Airway host-microbiome interactions in chronic obstructive pulmonary disease. Respiratory Research. 20(1). 113–113. 99 indexed citations
7.
Washburn, Michael L., Zhang Wang, Andrew H. Walton, et al.. (2019). T Cell– and Monocyte-Specific RNA-Sequencing Analysis in Septic and Nonseptic Critically Ill Patients and in Patients with Cancer. The Journal of Immunology. 203(7). 1897–1908. 38 indexed citations
8.
Nuzzo, Andrea & James R. Brown. (2019). The Microbiome Factor in Drug Discovery and Development. Chemical Research in Toxicology. 33(1). 119–124. 6 indexed citations
9.
Wang, Zhang, Stephanie Van Horn, E. S. Thomas, et al.. (2017). Gut microbiome differences between metformin‐ and liraglutide‐treated T2DM subjects. Endocrinology Diabetes & Metabolism. 1(1). e00009–e00009. 62 indexed citations
10.
Vamathevan, Jessica, Matthew D. Hall, Samiul Hasan, et al.. (2013). Minipig and beagle animal model genomes aid species selection in pharmaceutical discovery and development. Toxicology and Applied Pharmacology. 270(2). 149–157. 40 indexed citations
11.
Hirt, Robert P., et al.. (2012). Data mining the human gut microbiota for therapeutic targets. Briefings in Bioinformatics. 13(6). 751–768. 18 indexed citations
12.
Kumar, Vinod, Peng Sun, Jessica Vamathevan, et al.. (2011). Comparative Genomics of Klebsiella pneumoniae Strains with Different Antibiotic Resistance Profiles. Antimicrobial Agents and Chemotherapy. 55(9). 4267–4276. 81 indexed citations
13.
Zhang, Yan, Michael J. Italia, Kurt R. Auger, et al.. (2010). Molecular Evolutionary Analysis of Cancer Cell Lines. Molecular Cancer Therapeutics. 9(2). 279–291. 6 indexed citations
14.
Brown, James R.. (2007). Comparative genomics : basic and applied research. CRC Press eBooks. 6 indexed citations
15.
Brown, James R., et al.. (2006). IMPACT OF LOW AERIAL APPLICATION RATES OF DIBROM 14® ON POTENTIAL VECTORS1. Journal of the American Mosquito Control Association. 22(1). 87–92. 1 indexed citations
16.
Brown, James R. & W. Ford Doolittle. (1999). Gene Descent, Duplication, and Horizontal Transfer in the Evolution of Glutamyl- and Glutaminyl-tRNA Synthetases. Journal of Molecular Evolution. 49(4). 485–495. 91 indexed citations
17.
Brown, James R., Frank T. Robb, Robert B. Weiss, & W. Ford Doolittle. (1997). Evidence for the early divergence of tryptophanyl- and tyrosyl-tRNA synthetases. Journal of Molecular Evolution. 45(1). 9–16. 56 indexed citations
18.
Brown, James R., Teresa Gilbert, David Kowbel, et al.. (1989). Nucleotide sequence of the apocytochrome B gene in white sturgeon mitochondrial DNA. Nucleic Acids Research. 17(11). 4389–4389. 30 indexed citations
19.
Brown, James R., et al.. (1988). FOG MITIGATION UPDATE: FOG MITIGATION MEASURES AS APPLIED TO HIGHWAY BRIDGE STRUCTURES. Transportation Research Record Journal of the Transportation Research Board. 3 indexed citations
20.
Brown, James R.. (1987). Soil testing: sampling, correlation, calibration, and interpretation proceedings of a symposium. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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